This paper is published in Volume-4, Issue-1, 2018
Area
Transportation
Author
Melbin Benny, Aleena Shyju, Meera Menon, Jinju Sunny, Baiju Karun
Org/Univ
Muthoot Institute Of Technology And Science, Varikoli, Kerala , India
Keywords
Radio Frequency Identification, Congesion Detection, Global Positioning System.
Citations
IEEE
Melbin Benny, Aleena Shyju, Meera Menon, Jinju Sunny, Baiju Karun. Emergency Vehicle Monitoring System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Melbin Benny, Aleena Shyju, Meera Menon, Jinju Sunny, Baiju Karun (2018). Emergency Vehicle Monitoring System. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.
MLA
Melbin Benny, Aleena Shyju, Meera Menon, Jinju Sunny, Baiju Karun. "Emergency Vehicle Monitoring System." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.
Melbin Benny, Aleena Shyju, Meera Menon, Jinju Sunny, Baiju Karun. Emergency Vehicle Monitoring System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Melbin Benny, Aleena Shyju, Meera Menon, Jinju Sunny, Baiju Karun (2018). Emergency Vehicle Monitoring System. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.
MLA
Melbin Benny, Aleena Shyju, Meera Menon, Jinju Sunny, Baiju Karun. "Emergency Vehicle Monitoring System." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.
Abstract
Emergency vehicles such as ambulances, fire fighting vehicles and police force vehicles are required to reach their destination as quickly as possible. One of the most important delays is the time that is consumed in intersections with these traffic lights, especially when their intersections are highly congested. In this paper we discuss the design and implementation of an automatic pre-emption traffic control system that ensures to give preferences to all the emergency vehicles.It is significant to identify the density of traffic on real time mainly in metropolitan cities for signal control. This system is capable to sense the density of vehicles for intelligent traffic management and this will prioritize the emergency vehicle among other vehicles and provide a better route and time management using the database collected. Traffic light posts positioned at the traffic junction set the lights to green for specific period of time which will help the emergency vehicle to move free without getting stuck at any congestion. The proposed system will have RFID readers at the traffic junctions that will read all the RFID tags attached to the vehicles coming towards the junction.